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Record W3112791349 · doi:10.1002/iir.1401

Transposing the preventive restructuring directive 2019 into French insolvency law: Rethinking the role of the judge and rebalancing creditors' rights

2020· article· en· W3112791349 on OpenAlexvenueno aff
Emilie Ghio

Bibliographic record

VenueInternational Insolvency Review · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringDirectiveInsolvencyCreditorBusinessEuropean unionLawLegislatorMember statesPolitical scienceLaw and economicsEconomicsLegislationEconomic policyFinanceComputer science

Abstract

fetched live from OpenAlex

Abstract In June 2019, the European Union adopted the Directive on Preventive Restructuring Frameworks. The objective of the Directive is to introduce a level‐playing field across all Member States in the area of pre‐insolvency restructuring. Member States have until 2021 to transpose the Directive into their domestic insolvency regimes. In April 2019, the French legislator adopted the “Pacte Law”, whose aim is, inter alia, the transposition of the European Directive on Preventive Restructuring. Although five preventive restructuring tools already exist in the French regime, the transposition of the Directive will have an impact on current restructuring practices as it will require: (i) rebalancing the involvement and role of judicial authorities in preventive restructuring proceedings; and (ii) rebalancing the involvement of, and protection granted to, creditors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.024
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.270
Threshold uncertainty score0.537

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.024
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.006
Scholarly communication0.0150.003
Open science0.0020.002
Research integrity0.0110.007
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.213
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2020
Admission routes1
Has abstractyes

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